Prof. Foo to present invited paper on a Fuzzy Logic Approach to Fire Detection in Aircraft
A fuzzy logic approach to detect hydrocarbon fires in aircraft is derived using inputs from a set of statistical measures derived from the histogram and image subtraction analyses of successive image frames. Rules based on the median, standard deviation, and normalized 1st-order moment statistical measures of histogram data and the mean statistical measure of image subtraction data of successive frames are used to compute the probability of a fire event. This fuzzy logic approach is also tested for false alarms such as those due to flashlights and high-power halogen lights.
This work is supported in part by Wright-Patterson Air Force Base and Synergy, Inc., Ohio, U.S.A.
The paper will be presented at the International VdS Videodetection Conference in Cologne, Germany, from May 27th-28th, 2002.